[Met_help] More MET questions
Daniel Schaffer
Daniel.S.Schaffer at noaa.gov
Thu Oct 23 09:24:42 MDT 2008
Hey John
FYI. Given the difficulties I ran into as we have been discussing and a short time fuse I face, I have gone ahead and written my own code that computes counts for various neighborhood widths. So at this moment it is not super-critical to resolve these issues. However, it would be interesting to compare the counts I generate with MET's answers.
I've attached the files that you requested. Note that I only attached a sample forecast file since the behavior is the same if the forecast and obs files are identical.
As for your response below; I had already seen that. I'm not clear how it's relevant to the problem I'm having with the GSL gamma function.
> >
> > Regarding GSL, please see the entry about GSL on the known issue page of the MET website:
> > http://www.dtcenter.org/met/users/support/known_issues/METv1.1/index.php
> > Look in the section on Grid-Stat.
> >
Thanks for your continued support.
Dan
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////////////////////////////////////////////////////////////////////////////////
//
// Default grid_stat configuration file
//
////////////////////////////////////////////////////////////////////////////////
//
// Specify a name to designate the model being verified. This name will be
// written to the second column of the ASCII output generated.
//
model = "WRF";
//
// Specify a comma-separated list of fields to be verified. Each field is
// specified as a grib code or corresponding grib code abbreviation followed
// by an accumulation or vertical level indicator.
//
// Each verification field is specified as one of the following:
// GC/ANNN for accumulation interval NNN
// GC/ZNNN for vertical level NNN
// GC/PNNN for pressure level NNN in hPa
// GC/PNNN-NNN for a range of pressure levels in hPa
// Where GC is the number of or abbreviation for the grib code
// to be verified.
// http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html
//
// e.g. vx_grib_code[] = [ "61/A3", "APCP/A24", "RH/L10" ];
//
vx_grib_code[] = [ "61/A12" ];
//
// Specify a comma-separated list of groups of thresholds to be applied to the
// verification fields listed above. At least one threshold must be provided
// for each verification field listed above. The lengths of the "vx_grib_code"
// array and the "thresholds" array must be the same. To apply multiple
// thresholds to a verification field, separate the threshold values with a
// space.
//
// Each threshold must be preceded by a two letter indicator for the type of
// thresholding to be performed:
// 'lt' for less than 'le' for less than or equal to
// 'eq' for equal to 'ne' for not equal to
// 'gt' for greater than 'ge' for greater than or equal to
//
// e.g. thresholds[] = [ "gt0.0 ge5.0", "gt0.0", "lt80.0 ge80.0" ];
//
thresholds[] = [ "ge1.0" ];
//
// Specify a comma-separated list of grids to be used in masking the data over
// which to perform scoring. An empty list indicates that no masking grid
// should be performed. The standard NCEP grids are named "GNNN" where NNN
// indicates the three digit grid number. Enter "FULL" to score over the
// entire domain.
// http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html
//
// e.g. mask_grids[] = [ "FULL" ];
//
mask_grids[] = [ "ncwd" ];
//
// Specify a comma-separated list of ASCII files containing lat/lon polygons to
// be used in masking the data over which to perform scoring. An empty list
// indicates that no polygon mask should be used.
//
// Latitude values are given in degrees north and longitude values are given in
// degrees east. By default, the first and last points defined for the polygon
// are connected.
//
// The entries in the list should be files containing a name for the polygon
// followed by a space-separated list of lat/lon points defining the polygon:
// "poly_name lat1 lon1 lat2 lon2... latn lonn"
// Where n is the number of polygon points.
//
// MET_BASE may be used in the path for the lat/lon polygon files.
//
// e.g. maks_polys[] = [ "MET_BASE/data/poly/EAST.poly",
// "MET_BASE/data/poly/WEST.poly" ];
mask_polys[] = [ "MET_BASE/data/poly/NEVS_CONUS.poly" ];
//
// Specify a comma-separated list of values for alpha to be used when computing
// confidence intervals. Values of alpha must be between 0 and 1.
//
// e.g. ci_alpha[] = [ 0.05, 0.10 ];
//
ci_alpha[] = [ 0.10, 0.05 ];
//
// Specify the method to be used for computing bootstrap confidence intervals.
// The value for this is interpreted as follows:
// (0) Use the BCa interval method (computationally intensive)
// (1) Use the percentile interval method
//
boot_interval = 1;
//
// Specify a proportion between 0 and 1 to define the replicate sample size
// to be used when computing percentile intervals. The replicate sample
// size is set to boot_rep_prop * n, where n is the number of raw data points.
//
// e.g boot_rep_prop = 0.80;
//
boot_rep_prop = 1.0;
//
// Specify the number of times each set of matched pair data should be
// resampled when computing bootstrap confidence intervals. A value of
// zero disables the computation of bootstrap condifence intervals.
//
// e.g. n_boot_rep = 1000;
//
n_boot_rep = 500;
//
// Specify the name of the random number generator to be used. See the MET
// Users Guide for a list of possible random number generators.
//
boot_rng = "mt19937";
//
// Specify the seed value to be used when computing bootstrap confidence
// intervals. If left unspecified, the seed will change for each run and
// the computed bootstrap confidence intervals will not be reproducable.
//
boot_seed = "";
//
// Specify a comma-separated list of interpolation method(s) to be used
// for smoothing the forecast grid prior to comparing it to the observation
// grid. The value at each forecast grid point is replaced by the measure
// computed over the neighborhood defined around the grid point.
// String values are interpreted as follows:
// MIN = Minimum in the neighborhood
// MAX = Maximum in the neighborhood
// MEDIAN = Median in the neighborhood
// UW_MEAN = Unweighted mean in the neighborhood
//
// NOTE: The distance-weighted mean (DW_MEAN) is not an option here since
// it will have no effect on a gridded field.
//
// NOTE: The least-squares fit (LS_FIT) is not an option here since
// it reduces to an unweighted mean on a grid.
//
// e.g. interp_method[] = [ "UW_MEAN", "MEDIAN" ];
//
interp_method[] = [ "UW_MEAN" ];
//
// Specify a comma-separated list of box widths to be used by the
// interpolation techniques listed above. A value of 1 indicates that
// no smoothing should be performed. For a value of n greater than 1,
// the n*n grid points around each point will be used to smooth
// the forecast field.
//
// e.g. interp_width = [ 1, 3, 5 ];
//
interp_width[] = [ 1 ];
//
// When smoothing, compute a ratio of the number of valid data points to
// the total number of points in the neighborhood. If that ratio is less
// than this threshold, do not compute a smoothed forecast value. This
// threshold must be between 0 and 1. Setting this threshold to 1 will
// require that each observation be surrounded by n*n valid forecast
// points.
//
// e.g. interp_threshold = 1.0;
//
interp_threshold = 1.0;
//
// Specify a comma-separated list of box widths to be used to define
// the neighborhood size for the neighborhood verification methods.
// For a value of n greater than 1, the n*n grid points around each point
// will be used to define the neighborhood.
//
// e.g. interp_width = [ 3, 5 ];
//
nbr_width[] = [ 5, 39, 79 ];
//
// When applying the neighborhood verification methods, compute a ratio
// of the number of valid data points to the total number of points in
// the neighborhood. If that ratio is less than this threshold, do not
// include it in the computations. This threshold must be between 0
// and 1. Setting this threshold to 1 will require that each point be
// surrounded by n*n valid forecast points.
//
// e.g. nbr_threshold = 1.0;
//
nbr_threshold = 1.0;
//
// When applying the neighborhood verification methods, apply a threshold
// to the fractional coverage values to define contingency tables from
// which to compute statistics.
//
// e.g. nbr_frac_threshold[] = [ "ge0.25", "ge0.50" ];
//
nbr_frac_threshold[] = [ "ge0.08", "ge0.08", "ge0.08" ];
//
// Specify flags to indicate the type of data to be output:
// (1) VSDB and FHO Text Files, FHO rates:
// Total (TOTAL),
// Forecast Rate (F_RATE),
// Hit Rate (H_RATE),
// Observation Rate (O_RATE)
//
// (2) VSDB and CTC Text Files, Contingency Table Counts:
// Total (TOTAL),
// Forecast Yes and Observation Yes Count (FY_OY),
// Forecast Yes and Observation No Count (FY_ON),
// Forecast No and Observation Yes Count (FN_OY),
// Forecast No and Observation No Count (FN_ON)
//
// (3) VSDB and CTP Text Files, Contingency Table Proportions:
// Total (TOTAL),
// FY_OY/Total (FY_OY_TP),
// FY_ON/Total (FY_ON_TP),
// FN_OY/Total (FN_OY_TP),
// FN_ON/Total (FN_ON_TP),
// FY/Total (FY_TP),
// OY/Total (FN_TP),
// OY/Total (OY_TP),
// ON/Total (ON_TP)
//
// (4) VSDB and CFP Text Files, Contingency Table Forecast Proportions:
// Total (TOTAL),
// FY_OY/FY (FY_OY_FP),
// FY_ON/FY (FY_ON_FP),
// FN_OY/FN (FN_OY_FP),
// FN_ON/FN (FN_ON_FP),
// FY (FY),
// FN (FN)
//
// (5) VSDB and COP Text Files, Contingency Table Observation Proportions:
// Total (TOTAL),
// FY_OY/OY (FY_OY_OP),
// FY_ON/ON (FY_ON_OP),
// FN_OY/OY (FN_OY_OP),
// FN_ON/ON (FN_ON_OP),
// OY (OY),
// ON (ON)
//
// (6) VSDB and CTS Text Files, Contingency Table Scores:
// Total (TOTAL),
// Base Rate (BASER), BASER_CL, BASER_CU,
// Forecast Mean (FMEAN), FMEAN_CL, FMEAN_CU,
// Accuracy (ACC), ACC_CL, ACC_CU,
// Bias (BIAS),
// Probability of Detecting Yes (PODY), PODY_CL, PODY_CU,
// Probability of Detecting No (PODN), PODN_CL, PODN_CU,
// Probability of False Detection (POFD), POFD_CL, POFD_CU,
// False Alarm Ratio (FAR), FAR_CL, FAR_CU,
// Critical Success Index (CSI), CSI_CL, CSI_CU,
// Gilbert Skill Score (GSS),
// Hanssen and Kuipers Discriminant (HK), HK_CL, HK_CU,
// Heidke Skill Score (HSS),
// Odds Ratio (ODDS), ODDS_CL, ODDS_CU
//
// (7) VSDB and CNT Text Files, Statistics of Continuous Variables:
// Total (TOTAL),
// Forecast Mean (FBAR), FBAR_CL, FBAR_CU,
// Forecast Standard Deviation (FSTDEV), FSTDEV_CL, FSTDEV_CU
// Observation Mean (OBAR), OBAR_CL, OBAR_CU,
// Observation Standard Deviation (OSTDEV), OSTDEV_CL, OSTDEV_CU,
// Pearson's Correlation Coefficient (PR_CORR), PR_CORR_CL, PR_CORR_CU,
// Spearman's Rank Correlation Coefficient (SP_CORR),
// Kendall Tau Rank Correlation Coefficient (KT_CORR),
// Number of ranks compared (RANKS),
// Number of tied ranks in the forecast field (FRANK_TIES),
// Number of tied ranks in the observation field (ORANK_TIES),
// Mean Error (ME), ME_CL, ME_CU,
// Standard Deviation of the Error (ESTDEV), ESTDEV_CL, ESTDEV_CU,
// Frequency Bias (FBIAS),
// Mean Absolute Error (MAE),
// Mean Squared Error (MSE),
// Bias-Corrected Mean Squared Error (BCMSE),
// Root Mean Squared Error (RMSE),
// Percentiles of the Error (E10, E25, E50, E75, E90)
//
// NOTE: CL and CU values define lower and upper
// confidence interval limits.
//
// (8) VSDB and SL1L2 Text Files, SL1L2
// Total (TOTAL),
// Forecast Mean (FBAR),
// = mean(f)
// Observation Mean (OBAR),
// = mean(o)
// Forecast*Observation Product Mean (FOBAR),
// = mean(f*o)
// Forecast Squared Mean (FFBAR),
// = mean(f^2)
// Observation Squared Mean (OOBAR)
// = mean(o^2)
//
// (9) VSDB and NBRCTC Text Files, Neighborhood Methods Contingency Table Counts:
// Total (TOTAL),
// Forecast Yes and Observation Yes Count (FY_OY),
// Forecast Yes and Observation No Count (FY_ON),
// Forecast No and Observation Yes Count (FN_OY),
// Forecast No and Observation No Count (FN_ON),
// Fractional Threshold Value (FRAC_T),
// Neighborhood Size (INTERP_PNTS)
//
// (10) VSDB and NBRCTS Text Files, Neighborhood Methods Contingency Table Scores:
// Total (TOTAL),
// Base Rate (BASER), BASER_CL, BASER_CU,
// Forecast Mean (FMEAN), FMEAN_CL, FMEAN_CU,
// Accuracy (ACC), ACC_CL, ACC_CU,
// Bias (BIAS),
// Probability of Detecting Yes (PODY), PODY_CL, PODY_CU,
// Probability of Detecting No (PODN), PODN_CL, PODN_CU,
// Probability of False Detection (POFD), POFD_CL, POFD_CU,
// False Alarm Ratio (FAR), FAR_CL, FAR_CU,
// Critical Success Index (CSI), CSI_CL, CSI_CU,
// Gilbert Skill Score (GSS),
// Hanssen and Kuipers Discriminant (HK), HK_CL, HK_CU,
// Heidke Skill Score (HSS),
// Odds Ratio (ODDS), ODDS_CL, ODDS_CU
// Fractional Threshold Value (FRAC_T),
// Neighborhood Size (INTERP_PNTS)
//
// (11) VSDB and NBRCNT Text Files, Neighborhood Methods Continuous Scores:
// Total (TOTAL),
// Fractions Brier Score (FBS),
// Fractions Skill Score (FSS),
// Neighborhood Size (INTERP_PNTS)
//
// (12) NetCDF File containing difference fields for each grib
// code/mask combination. A non-zero value indicates that
// this NetCDF file should be produced. A value of 0
// indicates that it should not be produced.
//
// Values for flags (1) through (8) are interpreted as follows:
// (0) Do not generate output of this type
// (1) Write output to a VSDB file
// (2) Write output to a VSDB file and a text file
//
output_flag[] = [ 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0 ];
//
// Flag to indicate whether Kendall's Tau and Spearman's Rank Correlation
// Coefficients should be computed. Computing them over large datasets is
// computationally intensive and slows down the runtime execution significantly.
// (0) Do not compute these correlation coefficients
// (1) Compute these correlation coefficients
//
rank_corr_flag = 1;
//
// Specify whether to use the NCEP/NWS Grib conventions.
// If set to zero, the following defaults will be used:
// (1) Grib codes 128 to 254 will be named "GC_NNN" where NNN is the grib code
// (2) Grib levels 204 to 254 will be named "GL_NNN" where NNN is the grib level
//
ncep_defaults = 1;
//
// Directory where temp files should be written by the point_stat tool
//
tmp_dir = "/tmp";
//
// Indicate a version number for the contents of this configuration file.
// The value should generally not be modified.
//
version = "V1.1";
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CONUS
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